Quantum network architecture
Quantum repeaters
Repeaters aim to extend entanglement distribution using memories, swapping, purification, or error correction.
Core idea
Long channels are divided into shorter segments so loss and memory tradeoffs can be managed.
Minimal mathematics
The MVP optimizer uses equal spacing, link transmittance, fixed swap penalty, and fidelity proxies.
Typical assumptions
- No full purification stack
- Memory and swap models are scalar proxies
- Hardware details are not calibrated
Common failure modes
- Memory decoherence
- Low swap success
- Accumulated fidelity loss
Related tools
References
- Briegel et al., quantum repeaters